here first we looking on the given diagram and after this we select all the incoming input like in q1 all the input are q1=q2 0+ q1 1 or q2=q3 1 + q2 0 q1 is a state and when q2 sent 0 then its going to q1 so the value add into the q1 ok same in q2...
You need to find the median first. That will divide the data into two halves. The median is also known as Q2 or second quartile. Now take the first half of you data and find the median of that half. This is known as Q1. Do the same with the second half and that is Q3. You box has Q1 on the left, Q3 on the right and Q2 in the middle. The whiskers will be the range of your data, that is to say the upper and lower extremes. You will graph the quartiles and the extremes with the scale underneath them. A link with pictures is provided. The 5 numbers, Q1, Q2, Q3 and the extremes(max and min values) are known as the 5 number summary.
It is a graphical representation of the distribution of a variable. It if often used to represent a "5 number summary" in statistics. The 5 numbers are the minimum and maximum values of a set as well as Q1, Q2 and Q3 which are the first, second, and third quartiles. The box is made up of the quartiles, with the smaller and larger ones at either end and Q2 in between. The whiskers are the max and the min.
There is no agreed definition of an outlier. There are some definitions based on the median (Q2) and the quartiles Q1, and Q3.Let the inter-quartile range, IQR = Q3 - Q1.A number is a n outlier if it is:less than Q1 - k*IQR orgreater than Q3 + k*IQR.A popular choice for k is 1.5
IMPORTANT QUESTIONS IN SOCIAL STUDIES. Q1.WRITE THE DIFFERENCES BETWEEN GENERAL ELECTIONS AND BYE ELECTIONS? Q2.WHAT IS ECONOMIC PLANING? CHEMISTRY. Q1.DIFFERENCE BETWEEN DIAMOND AND GRAPHITE?
here first we looking on the given diagram and after this we select all the incoming input like in q1 all the input are q1=q2 0+ q1 1 or q2=q3 1 + q2 0 q1 is a state and when q2 sent 0 then its going to q1 so the value add into the q1 ok same in q2...
to calculate Q1 and Q3, you must first find Q2 - the median. count from wither end of the sample until you find the sole middle number, or find the average of the 2 middle numbers. then, complete the same process to the left of Q2 for Q1, and also on the right for Q3. the IQR is just Q3 - Q1.
Price elasticity demand formula end point formula epd= [q2-q1/q1]/[p2-p1/p1] midpoint formula epd= [q2-q1/(q2+q1)/2] / [p2-p1/(p2+p1)/2]
The formula for computing elasticity of demand is: (Q1 - Q2) / (Q1 + Q2) ------------------------------ (P1 - P2) / (P1 + P2)
ed=(q1-q2)/q1/(p1-p2)/p1
The formula for Price Elasticity of Demand (PED) is the percentage change in quantity demanded divided by the percentage change in price. It is calculated as (Q2 - Q1) / ((Q1 + Q2) / 2) / (P2 - P1) / ((P1 + P2) / 2), where Q1 and Q2 are quantity demanded values and P1 and P2 are price values.
It means second quarter of the year. Q1 = First quarter Q2 = second and so on..
Q1 = ( V1 ) ( A1 ) = ( 3 m/s ) ( A1 )Q2 = ( V2 ) ( A2 ) + ( 3 m/s ) ( A2 )A3 = A2 = A1Q3 = Q1 + Q2V3 = ( Q1 + Q2 ) / ( A1 )V3 = ( A1 ) ( 3 m/s + 3 m/s ) / ( A1 ) = 6 m/s
In order to find Q1, you must first find Q2. Q2 is the median, or middle, for the entire set of given data. If the data set is 1, 2, 2, 3, 3, 4, 4 ,4, 5, 5, 6, 7, 7, then Q2 would be 4. Therefore, the first half of the data set is 1, 2, 2, 3, 3, 4. Q1 is the median for the first half of data. Since there are an even number of entries for the first half, the two middle numbers are averaged. Thus, 2+3=5, and 5/2=2.5. Q1 equals 2.5.
Ed=% Change in quantity demanded/% Change in price=(Q2-Q1)/Q1/(P2-P1)/P1= P1 - Price before change P2 - Price after change Q1 - Quantity before change Q2 - Quantity after change Ed- Price elasticity of demand
Ed=% Change in quantity demanded/% Change in price=(Q2-Q1)/Q1/(P2-P1)/P1= P1 - Price before change P2 - Price after change Q1 - Quantity before change Q2 - Quantity after change Ed- Price elasticity of demand
They are the first three cells (from the top) in the seventeenth column.